A private memory layer for the Ailiur ecosystem

Stop re-explaining yourself.

Your AI history, unified into one private context layer.

Unified Context Mesh turns exported ChatGPT, Claude, and Gemini history into app-ready context for every Ailiur app — so you never restate who you are, what you are building, or the decisions you already made.

Unifies the histories you already have

  • ChatGPT
  • Claude
  • Gemini
How it works

A memory engine for people who live across AI tools.

Three quiet steps turn months of scattered conversations into context your tools can actually use. Nothing leaves your control along the way.

  1. 01

    Import

    Bring your own ChatGPT, Claude, and Gemini exports. UCM ingests them privately — no scraping, no re-typing, no copy-paste.

  2. 02

    Embed

    Conversations are cleaned of noise and turned into semantic vectors, then tagged to the Ailiur pillars they belong to.

  3. 03

    Retrieve

    Every Ailiur app queries the mesh and gets back a tight context packet — the right decisions, preferences, and history, on demand.

The problem

Your best context is trapped in the wrong place.

You have already explained yourself a hundred times — your goals, your stack, your taste, the decisions you have already made. But it lives in three separate chat histories that cannot talk to each other, and none of your tools can reach it.

  • ChatGPT

    Strategy threads, drafts, and half-finished plans.

  • Claude

    Deep reasoning, codebase decisions, and long context.

  • Gemini

    Research, summaries, and scattered exploration.

  • Cold starts — every new chat begins from zero.
  • Endless copy-paste between tools and tabs.
  • Decisions you already made, lost in old threads.
  • Re-explaining the same context again and again.
  • Prompt bloat from pasting your whole life into the box.
Interactive demo

Ask your past work what your next app should know.

Type a question, and the Context Packet Builder assembles the relevant decisions, preferences, and history from across your AI exports — the same packet an Ailiur app would receive. Mock data only; nothing here touches a real account.

Active Ailiur app
AI exports
Retrieval depth

Returns up to 5 memories.

Retrieval pipelineLocal · mock data
ChatGPT
Claude
Gemini
Local Vector
Matrix
Context
Packet

Choose a project and ask what your next app should remember.

This demo uses mock data. Real imports would require user-authorized exports.

Core features

Infrastructure for context, not another notes app.

UCM does one thing well: it makes the context you already created instantly useful to the tools you already use.

  • Private export ingestion

    Bring your own ChatGPT, Claude, and Gemini exports. UCM reads them on your terms — never the other way around.

  • Noise stripping

    Boilerplate, dead ends, and filler are filtered out so only the signal — decisions, preferences, facts — survives.

  • Semantic vector search

    Retrieval by meaning, not keywords. Ask in plain language and get back what you actually meant.

  • Ailiur pillar tagging

    Every memory is tagged to the Ailiur pillars it belongs to, so the right app gets the right slice of you.

  • Source provenance

    Every retrieved fact carries its origin — which tool, which conversation — so you can always trace it back.

  • Local-first architecture

    Your mesh lives close to you, not in someone else’s walled garden. Portable by design, private by default.

  • Instant context packets

    Apps request a packet and get back a compact, ready-to-use brief — no prompt bloat, no re-explaining.

Across the ecosystem

One mesh, every Ailiur app.

The same context layer feeds each app a different view of you — the slice that makes that app feel like it already knows you.

  • Health behavior context

    Qetos

    Surfaces the routines, constraints, and goals you have already described, so health guidance starts where you are.

  • Learning history

    Enchiridion

    Remembers what you have studied and struggled with, so new material builds on what you already know.

  • Goals, assets & workflow memory

    Doblu

    Carries your objectives, assets, and the way you actually work into every plan and handoff.

  • Creative taste graph

    Tayzt

    Holds the aesthetic decisions and references you keep returning to, so creative output matches your taste.

  • Codebase decisions & AI IDE context

    Tellumetry

    Recalls architectural decisions and coding context, so your agents start informed instead of guessing.

Why this is different

Not another notes app. Not another chatbot.

UCM is a portable context layer that sits beneath your tools — it does not ask you to write more, and it does not lock your memory inside one vendor.

Comparison of manual notes, platform memory, and Unified Context Mesh
Manual notesPlatform memoryUnified Context Mesh
Where it livesScattered files & docsLocked inside one vendorA portable layer you own
Across AI toolsManual copy-pasteOnly that platform’s chatsChatGPT, Claude & Gemini together
How it finds thingsYou search from memoryKeyword history searchSemantic vector retrieval
Knows your projectsOnly if you wrote it downGeneric, not Ailiur-awareTagged to Ailiur pillars
PortabilityYours, but inertLeaves when you leaveYours, and instantly usable
Feels likeA second jobA walled gardenQuiet infrastructure
The Ailiur ecosystem

The hidden layer beneath Ailiur.

Ailiur apps should not feel like isolated products. They should feel like rooms in the same intelligent house. UCM is the hallway between them.

Early access

Bring your context home.

Unified Context Mesh is in private development. Join the waitlist to help shape the mesh and get early access as we open it up.

No spam — one note when your cohort opens.

Feedback

Give us your honest feedback.

UCM is early, and it's shaped by the people who use it. Tell us what's working, what's missing, and what we should build next — it goes straight to the team.

Unified Context Mesh

The private semantic memory layer beneath the Ailiur ecosystem.

ucm.ailiur.com

© 2026 Ailiur. All rights reserved.

Demo uses mock data. Real UCM would use user-authorized exports.